In this correspondence, we present an accurate Magnetic Resonance (MR) image Super-
Resolution (SR) method that uses a Very Deep Residual network (VDR-net) in the training …

Image interpolation is the process of transforming a low-resolution image into a higher-
resolution image of a different size. The current study analyzes several picture interpolation …

Our aim is to produce a model that can recognize hand gestures and signs. We will train a
model for the purpose of sign language conversion, a simple gesture recognizing model; …

Existing infrared (IR)-visible (VIS) image fusion algorithms demand source images with the
same resolution levels. However, IR images are always available with poor resolution due to …

Single image super resolution (SISR) techniques produce images of high resolution (HR) as
output from input images of low resolution (LR). Motivated by the effectiveness of deep …

As it isn't sufficient to inspect the scene in several applications to think about just the
noticeable articles, route and object identification require distinctive imaging modalities. In …

In mobile wireless multimedia sensor networks' image compression task collaborations, the
existing methods do not consider the dynamic changes in the processing ability and the …

In remote sensing, the information present in hyperspectral images (HSI) and multispectral
images (MSI) often contrasts with each other. HSI has a higher spectral resolution than …

Number of vehicles has increased enormously in the past few decades, to effectively monitor
traffic and vehicle owner identification authorities seek to probe an effective method using …

Recognition of Facial expression in technology plays a major role in many sectors. It has
many advantages because of which it is very important. It is mainly used in market research …